Sr Data Scientist(deep Learning, Graphql) Job in Agivant Technologies India Private Limited

About the Role:

We are seeking a talented Senior Data Scientist to join our team and contribute to the development of cutting-edge AI solutions. The ideal candidate will have a strong background in computer vision, GraphQL, and graphical neural networks. You will be responsible for designing, developing, and deploying innovative data-driven solutions to solve complex problems.

Responsibilities:

• Develop and implement machine learning algorithms for computer vision and GraphQL-based applications.
  
• Collect, clean, and prepare large datasets for analysis.
  
• Explore and experiment with different machine learning techniques and architectures, including graphical neural networks.
  
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  
• Design and implement GraphQL APIs to expose machine learning models and services.
  
• Develop and maintain scalable data pipelines and infrastructure.
  
• Stay up-to-date with the latest advancements in machine learning, AI, and GraphQL.
  

Requirements

5 to 8 years of strong professional experience working on Machine Learning for PoC as well as Production with International Clients

• Bachelor s degree, Master's degree or PhD in Computer Science, Data Science, or a related field.
  
• Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, OpenCV, and GraphQL.
  
• Deep understanding of computer vision algorithms and techniques (e.g., object detection, image segmentation, image generation).
  
• Experience with graphical neural networks (GNNs) and their applications.
  
• Proficiency in machine learning algorithms and techniques (e.g., regression, classification, clustering).
  
• Experience with GraphQL API development and GraphQL schema design, Neo4J etc.
  
• Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
  
• Excellent problem-solving, analytical, and communication skills.
  

Preferred Skills:

• Experience with deep learning frameworks like TensorFlow or PyTorch.
  
• Knowledge of reinforcement learning and generative models.
  
• Familiarity with cloud-based machine learning platforms and GraphQL-specific tools.